Optimize machine learning model hyperparameters using grid search, random search, or Bayesian optimization. Finds best parameter configurations to maximize performance. Use when asked to "tune hyperparameters" or "optimize model". Trigger with relevant phrases based on skill purpose.
Optimize deep learning models using Adam, SGD, and learning rate scheduling to improve accuracy and reduce training time. Use when asked to "optimize deep learning model" or "improve model performance". Trigger with phrases like 'optimize', 'performance', or 'speed up'.
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques. it is triggered when the user requests assistance with fine-tuning a model, adapting a pre-trained model to a new dataset, or performing... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
Build model explainability tool operations. Auto-activating skill for ML Training. Triggers on: model explainability tool, model explainability tool Part of the ML Training skill category. Use when working with model explainability tool functionality. Trigger with phrases like "model explainability tool", "model tool", "model".
Configure with feature engineering helper operations. Auto-activating skill for ML Training. Triggers on: feature engineering helper, feature engineering helper Part of the ML Training skill category. Use when working with feature engineering helper functionality. Trigger with phrases like "feature engineering helper", "feature helper", "feature".
Build pytorch model trainer operations. Auto-activating skill for ML Training. Triggers on: pytorch model trainer, pytorch model trainer Part of the ML Training skill category. Use when working with pytorch model trainer functionality. Trigger with phrases like "pytorch model trainer", "pytorch trainer", "pytorch".
Monitor prediction monitor operations. Auto-activating skill for ML Deployment. Triggers on: prediction monitor, prediction monitor Part of the ML Deployment skill category. Use when monitoring systems or services. Trigger with phrases like "prediction monitor", "prediction monitor", "prediction".
Configure cross validation setup operations. Auto-activating skill for ML Training. Triggers on: cross validation setup, cross validation setup Part of the ML Training skill category. Use when working with cross validation setup functionality. Trigger with phrases like "cross validation setup", "cross setup", "cross".
Detect model drift detector operations. Auto-activating skill for ML Deployment. Triggers on: model drift detector, model drift detector Part of the ML Deployment skill category. Use when working with model drift detector functionality. Trigger with phrases like "model drift detector", "model detector", "model".
Test train test splitter operations. Auto-activating skill for ML Training. Triggers on: train test splitter, train test splitter Part of the ML Training skill category. Use when writing or running tests. Trigger with phrases like "train test splitter", "train splitter", "train".
Configure with gradient clipping helper operations. Auto-activating skill for ML Training. Triggers on: gradient clipping helper, gradient clipping helper Part of the ML Training skill category. Use when working with gradient clipping helper functionality. Trigger with phrases like "gradient clipping helper", "gradient helper", "gradient".
Optimize tailwind class optimizer operations. Auto-activating skill for Frontend Development. Triggers on: tailwind class optimizer, tailwind class optimizer Part of the Frontend Development skill category. Use when working with tailwind class optimizer functionality. Trigger with phrases like "tailwind class optimizer", "tailwind optimizer", "tailwind".
Data exploration and analysis partner for Product Managers. Use when the user needs to query databases, analyze metrics, create dashboards, or extract insights from data. Triggers include "query", "analyze data", "metrics", "BigQuery", "SQL", "dashboard", "what does the data say", or when working with quantitative information.
Implement incremental sync strategies for Navan BOOKING and TRANSACTION data with ETL pipeline patterns. Use when setting up production data pipelines, debugging sync drift, or adding real-time event processing. Trigger with "navan data sync", "navan incremental sync", "navan ETL pipeline".
Migration Deep Dive for OpenEvidence. Trigger: "openevidence migration deep dive".
Deploy Bright Data integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying Bright Data-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy brightdata", "brightdata Vercel", "brightdata production deploy", "brightdata Cloud Run", "brightdata Fly.io".
Execute Databricks primary workflow: Delta Lake ETL pipelines. Use when building data ingestion pipelines, implementing medallion architecture, or creating Delta Lake transformations. Trigger with phrases like "databricks ETL", "delta lake pipeline", "medallion architecture", "databricks data pipeline", "bronze silver gold".
Implement Delta Lake data management patterns including GDPR, PII handling, and data lifecycle. Use when implementing data retention, handling GDPR requests, or managing data lifecycle in Delta Lake. Trigger with phrases like "databricks GDPR", "databricks PII", "databricks data retention", "databricks data lifecycle", "delete user data".
Brief description of what this skill does and when the model should activate it. Use when [describe the user's intent or situation]. Trigger with "example phrase", "another trigger", "/example-skill".
Turn raw data into decisions with statistical rigor, proper methodology, and awareness of analytical pitfalls.
Feishu-integrated wrapper for the capability-evolver. Manages the evolution loop lifecycle (start/stop/ensure), sends rich Feishu card reports, and provides dashboard visualization. Use when running evolver with Feishu reporting or when managing the evolution daemon.
Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.
Intelligent AI model router that automatically switches between two configured models (local for simple tasks, cloud for complex ones). Detects local models (Ollama, LM Studio) automatically, routes based on task complexity and privacy. Use when users ask to "switch model", "use local/cloud model", or mention API keys/passwords (triggers privacy mode). Trigger on: sensitive data detection (forces local), complex tasks like "design architecture" (uses cloud), or configuration requests.
Intelligent AI model router that automatically switches between two configured models (local for simple tasks, cloud for complex ones). Detects local models (Ollama, LM Studio) automatically, routes based on task complexity and privacy. Use when users ask to "switch model", "use local/cloud model", or mention API keys/passwords (triggers privacy mode). Trigger on: sensitive data detection (forces local), complex tasks like "design architecture" (uses cloud), or configuration requests.
